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Questions and Answers
What are the three cases for deleting a node in a Binary Search Tree (BST)?
What are the three cases for deleting a node in a Binary Search Tree (BST)?
How is the deletion of a node with zero children handled in a BST?
How is the deletion of a node with zero children handled in a BST?
Simply delete the node.
What is the process of deleting a node with one child in a BST?
What is the process of deleting a node with one child in a BST?
Connect the child node with the parent node of the deleted value.
When deleting a node with two children in a BST, what are the two key rules used?
When deleting a node with two children in a BST, what are the two key rules used?
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The InOrder Predecessor rule requires you to delete the node with two children and replace it with the largest value on the right subtree of the deleted node.
The InOrder Predecessor rule requires you to delete the node with two children and replace it with the largest value on the right subtree of the deleted node.
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The InOrder Successor rule requires you to delete the node with two children and replace it with the lowest value on the right subtree of the deleted node.
The InOrder Successor rule requires you to delete the node with two children and replace it with the lowest value on the right subtree of the deleted node.
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What is the default parameter value for 'val' in the parameterized constructor of a Binary Search Tree (BST) class?
What is the default parameter value for 'val' in the parameterized constructor of a Binary Search Tree (BST) class?
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What is the primary purpose of traversing a Binary Search Tree?
What is the primary purpose of traversing a Binary Search Tree?
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Which of these statements accurately describes the process of searching in a BST?
Which of these statements accurately describes the process of searching in a BST?
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What is the core concept behind the efficiency of searching in a BST?
What is the core concept behind the efficiency of searching in a BST?
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What is the approach for finding the minimum value in a BST?
What is the approach for finding the minimum value in a BST?
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In a BST, the height is entirely controlled and never depends on the order of element insertions.
In a BST, the height is entirely controlled and never depends on the order of element insertions.
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Unbalanced BSTs are not a concern as they maintain optimal search performance regardless of their structure.
Unbalanced BSTs are not a concern as they maintain optimal search performance regardless of their structure.
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Why are balanced BSTs preferred over unbalanced BSTs?
Why are balanced BSTs preferred over unbalanced BSTs?
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What is the primary issue addressed by AVL trees and other self-balancing BST implementations?
What is the primary issue addressed by AVL trees and other self-balancing BST implementations?
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What is the key characteristic of an AVL tree that distinguishes it from other BSTs?
What is the key characteristic of an AVL tree that distinguishes it from other BSTs?
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Explain what the balance factor of a node in an AVL tree represents.
Explain what the balance factor of a node in an AVL tree represents.
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What is the primary purpose of using balance factors in AVL trees?
What is the primary purpose of using balance factors in AVL trees?
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An AVL tree with a balance factor of 1 is considered balanced.
An AVL tree with a balance factor of 1 is considered balanced.
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Which of these statements is TRUE about the efficiency of AVL trees compared to unbalanced BSTs?
Which of these statements is TRUE about the efficiency of AVL trees compared to unbalanced BSTs?
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AVL trees are named after Adelson Velskii and Eugene Landis, who introduced the concept in 1960.
AVL trees are named after Adelson Velskii and Eugene Landis, who introduced the concept in 1960.
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AVL tree is a self-balancing binary search tree exclusively designed for efficient memory management.
AVL tree is a self-balancing binary search tree exclusively designed for efficient memory management.
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What is the primary difference between AVL trees and other self-balancing BST implementations such as red-black trees and splay trees?
What is the primary difference between AVL trees and other self-balancing BST implementations such as red-black trees and splay trees?
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AVL trees are always guaranteed to be perfectly balanced at any given time.
AVL trees are always guaranteed to be perfectly balanced at any given time.
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Explain the role of rotations in AVL trees.
Explain the role of rotations in AVL trees.
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The term ‘avl’ in AVL tree refers to the discoverers’ surnames, George M. Adelson and Eugene M. Landis
The term ‘avl’ in AVL tree refers to the discoverers’ surnames, George M. Adelson and Eugene M. Landis
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The height difference between the left and right subtrees of any node in an AVL tree is always either 0 or +1 or -1.
The height difference between the left and right subtrees of any node in an AVL tree is always either 0 or +1 or -1.
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Which of these statements about AVL tree operations is TRUE?
Which of these statements about AVL tree operations is TRUE?
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AVL trees are used to implement a variety of data structures, including associative arrays, maps, sets, and similar interfaces.
AVL trees are used to implement a variety of data structures, including associative arrays, maps, sets, and similar interfaces.
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What is the significance of ensuring a balanced AVL tree in practice?
What is the significance of ensuring a balanced AVL tree in practice?
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Which of the following statements is TRUE about AVL trees?
Which of the following statements is TRUE about AVL trees?
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Which of these statements is TRUE regarding the use of AVL trees in the real world?
Which of these statements is TRUE regarding the use of AVL trees in the real world?
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Study Notes
CS201 Data Structures and Algorithm Design - Lecture 11
- Binary Search Tree (BST) & AVL Trees This lecture covers binary search trees and AVL trees.
Lecture Contents
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Deletion in Binary Search Tree Three cases for deleting nodes in a BST are:
- Node with zero children (leaf node): Simply delete the node.
- Node with one child: Connect the child node directly to the parent of the deleted node.
- Node with two children: Replace the node with its inorder predecessor (largest value in the left subtree) or inorder successor (smallest value in the right subtree).
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Implementing BST with Python: Includes node creation, insertion, traversal (inorder, preorder, postorder), searching, finding lowest and highest values within the tree.
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BST Drawbacks: BSTs can become unbalanced, impacting efficiency (time complexity).
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AVL Trees: A self-balancing BST. Maintains balance by controlling the height differences of subtrees through the balance factor.
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Balance Factor: Calculated by subtracting the height of the right subtree from the height of the left subtree of a node. A valid AVL tree has balance factors of -1, 0, or 1.
Deletion Examples
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Example 1 (Case 1 & 2): Depicts deletion of nodes with zero and one child.
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Example 2 (Case 3): Shows replacement with the highest or lowest node in the appropriate subtree when deleting a node with two children.
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Example 3 (Case 3): Deletion of a node with two children, showing replacement with the minimum value in the right subtree.
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Example 4 (Case 3): Deletion example showing replacement with the maximum value in the left subtree.
Exercise: Deletion (HW)
- Includes concrete examples for deletion exercises for practice.
Using Python: Implementation of Binary Search Tree
- Code examples and steps for creating a binary search tree using python.
BST Operations
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Creation: Demonstrates the creation of a new Node in the binary search tree.
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Insertion Detailed steps and code snippet for inserting a new node in the BST, handling cases where the value already exists and handling left and right insertions.
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Traversals: Includes preorder, inorder, and postorder traversals for accessing the contents in a BST
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Searching: How search works, based on the comparison of the tree node values to the search value.
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Finding lowest and highest values: Algorithms to locate the minimum and maximum values in a binary tree.
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Description
This lecture focuses on Binary Search Trees (BST) and AVL Trees, covering the deletion process in BSTs, including different cases depending on the node's children. Additionally, it discusses implementing BSTs using Python and addresses the drawbacks of BSTs, particularly their potential to become unbalanced. Finally, an introduction to AVL Trees as self-balancing BSTs is provided.